Personal profile
Research Interests
Software Reengineering; Empirical Software Engineering; Information Seeking in Software Engineering, Source Code analysis
Biography
Jim Buckley obtained an upper 2:1 Honours, BSc degree in Biochemistry from the University of Galway in 1989. In 1994 he was awarded an MSc degree in Computer Science from the University of Limerick and he followed this with a PhD in Computer Science from the same University in 2002. He currently works as a Professor in the Computer Science and Information Systems Department.
He is a Principal Investigator in Lero and was the original Director of the TREES (Trustworthy, Responsible, Efficient Engineering of Software) centre of excellence within Lero: a €6 million centre funded entirely by industry.
He also currently leads three research teams within Lero, looking at clone detection in really large systems, architecture recovery of Deep Learning Environments like TensorFlow, and using AI to generate source code, that last project being a result of a Research Impact award he received from Lero.
But he has also worked in software comprehension, programmer information seeking, software architecture consistency and feature location: the task of identifying where in the source code a specified functionality of the system is implemented.
For a full list of Jim’s publications, please go to: https://scholar.google.com/citations?user=Zd9NJ9sAAAAJ&hl=en&oi=ao
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Collaborations and top research areas from the last five years
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Empirical pathways to developer experience: A facet-based synthesis of empirical designs and guidelines
Razzaq, A., Botterweck, G., Lai, Q. & Buckley, J., Mar 2026, In: Journal of Systems and Software. 233, 112648.Research output: Contribution to journal › Review article › peer-review
Open Access -
A Framework and Taxonomy for Characterizing the Applicability of Software Architecture Recovery Approaches: A Tertiary-Mapping Study
Qayum, A., Zhang, M., Colreavy, S., Chochlov, M., Buckley, J., Lin, D. & Sai, A. R., Jan 2025, In: Software - Practice and Experience. 55, 1, p. 100-132 33 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Fused Siamese Network for Fake Review Detection
Dasgupta, S. & Buckley, J., 2025, Computational Science and Computational Intelligence - 11th International Conference, CSCI 2024, Proceedings. Arabnia, H. R., Deligiannidis, L., Shenavarmasouleh, F., Amirian, S. & Ghareh Mohammadi, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 257-270 14 p. (Communications in Computer and Information Science; vol. 2509 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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GlassBoost: A Lightweight and Explainable Classification Framework for Tabular Datasets
Namjoo, E., O’Connor, A. N., Buckley, J. & Ryan, C., Jun 2025, In: Applied Sciences (Switzerland). 15, 12, 6931.Research output: Contribution to journal › Article › peer-review
Open Access -
Industrial-Scale Neural Network Clone Detection with Disk-Based Similarity Search
Ahmed, G. A., Chochlov, M., Razzaq, A., Patten, J. V., Han, Y., Lu, G., Buckley, J. & Gregg, D., Feb 2025, Proceedings - 2025 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2025. Institute of Electrical and Electronics Engineers Inc., p. 522-532 11 p. (Proceedings - 2025 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review